iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
5124
Single Precision Score
36035
Half Precision Score
48905
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | September 24 2025 09:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
16067
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22615
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20204
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24888
403.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10238
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154865
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
286646
336.0 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
17532
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25958
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
40715
483.8 IPS |
|
|
Face Detection (Q)
|
100% |
53054
630.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8535
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104807
807.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162566
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24718
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
257726
331.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350184
451.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56887
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84722
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6017
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5987
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11128
191.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12200
210.8 IPS |
